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Performance Optimization of Nonorthogonal MFSK for Symbol-by-Symbol Coherent Detection [PDF]

open access: yesSensors
M-ary frequency-shift keying (MFSK) is employed for several applications, including Internet-of-Things (IoT) and sensor-based communications. Previous studies have demonstrated that coherent detection of well-designed nonorthogonal MFSK signals ...
Luca Rugini
doaj   +2 more sources

Semi-Blind Channel Estimation and Data Detection for Multi-Cell Massive MIMO Systems on Time-Varying Channels

open access: yesIEEE Access, 2021
We study the problem of semi-blind channel estimation and symbol detection in the uplink of multi-cell massive MIMO (multi-input multi-output) systems with spatially correlated time-varying channels.
Mort Naraghi-Pour   +2 more
doaj   +1 more source

On Multi-User Deep-Learning-Based Non-Coherent DPSK Multiple-Symbol Differential Detection in Massive MIMO Systems

open access: yesIEEE Access, 2021
In view of reducing the complexity of signal detection in massive multiple-input multiple-output (MIMO) receivers, the use of non-coherent detection is favored over usual coherent techniques that require complex channel estimation.
Omnia Mahmoud   +2 more
doaj   +1 more source

Dual-Polarization Ambient Backscatter Communications and Signal Detection

open access: yesSensors, 2023
Ambient backscatter communication (AmBC), an emerging mechanism for batteryless communications that can utilize ambient radio-frequency signals to modulate information and thus reduce power consumption, has attracted considerable attention and has been ...
Youze Yang, Sen Yan
doaj   +1 more source

Interference Cancellation, Channel Estimation, and Symbol Detection for Communications on Overlapping Channels

open access: yesIEEE Access, 2020
In this paper, we propose the joint interference cancellation, fast fading channel estimation, and data symbol detection for a general interference setting where the interfering source and the interfered receiver are unsynchronized and occupy overlapping
Minh Tri Nguyen, Long Bao Le
doaj   +1 more source

Multi‐input fully CNN for joint pilot decontamination and symbol detection in 5G massive MIMO

open access: yesIET Communications, 2023
This paper presents a multi‐input deep learning‐based joint pilot decontamination and symbol detection (SD) technique for 5G massive multiple‐input multiple‐output (MAMIMO) systems.
Crallet M. Victor   +2 more
doaj   +1 more source

Capacity Analysis and Data Detection of OvTDM-MIMO System

open access: yesIEEE Access, 2023
It is well known that the channel capacity of traditional MIMO systems is positively correlated with the number of antennas, so MIMO systems usually use more antennas to meet higher system capacity requirements, which is increasingly conflicting with the
Yue Hu
doaj   +1 more source

Analysis of Low Probability of Detection Capability for Chaotic Standard Map-Based FH-OFDMA System

open access: yesApplied Sciences, 2021
A frequency hopping orthogonal frequency division multiple access (FH-OFDMA) can provide low probability of detection (LPD) and anti-jamming capabilities to users against adversary detectors. To obtain an extreme LPD capability that cannot be provided by
Junwoo Jung   +4 more
doaj   +1 more source

Massive MIMO Systems With Low-Resolution ADCs: Baseband Energy Consumption vs. Symbol Detection Performance

open access: yesIEEE Access, 2019
In massive multiple-input multiple-output (MIMO) systems using a large number of antennas, it would be difficult to connect high-resolution analog-to-digital converters (ADCs) to each antenna component due to high cost and energy consumption problems. To
Seungsik Moon   +5 more
doaj   +1 more source

Fast Multi-Symbol Based Iterative Detectors for UWB Communications

open access: yesEURASIP Journal on Advances in Signal Processing, 2010
Ultra-wideband (UWB) impulse radios have shown great potential in wireless local area networks for localization, coexistence with other services, and low probability of interception and detection. However, low transmission power and high multipath effect
Qi Zhou, Xiaoli Ma, Vincenzo Lottici
doaj   +2 more sources

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